Send output to:
Browser Blue - Charts White
Browser Black/White
CSV
Data X:
1 86 6 36 88 3 86 8 56 94 3 103 8 48 90 3 74 7 32 73 1 63 5 44 68 2 82 7 39 80 3 93 8 34 86 3 77 9 41 86 2 111 9 50 91 1 71 3 39 79 1 103 9 62 96 3 89 7 52 92 3 75 9 37 72 3 88 8 50 96 1 84 6 41 70 3 85 7 55 86 3 70 8 41 87 3 104 9 56 88 2 88 7 39 79 2 77 6 52 90 1 77 8 46 95 1 72 7 44 85 3 83 8 41 90 1 110 9 50 115 1 91 9 50 84 3 80 7 44 79 1 91 4 52 94 2 86 7 54 97 3 85 7 44 86 2 107 9 52 111 2 93 7 37 87 3 87 9 52 98 1 84 10 50 87 3 73 5 36 68 3 84 6 50 88 1 86 9 52 82 2 99 9 55 111 1 75 8 31 75 1 87 6 36 94 2 79 6 49 95 1 82 5 42 80 1 95 8 37 95 3 84 8 41 68 2 85 5 30 94 2 95 6 52 88 1 63 9 30 84 1 85 4 44 101 1 86 8 66 98 2 75 9 48 78 3 98 7 43 109 3 71 7 57 102 3 63 6 46 81 3 71 9 54 97 2 84 9 48 75 2 81 8 48 97 3 79 6 62 101 3 63 10 58 101 2 93 8 58 95 2 92 7 62 95 3 83 8 46 95 2 80 3 34 90 3 111 8 66 107 3 92 10 52 92 2 79 7 55 86 2 69 5 55 70 3 83 10 57 95 3 80 5 56 96 2 91 8 55 91 1 97 9 56 87 2 85 6 54 92 2 85 9 55 97 2 99 8 46 102 2 67 5 52 91 3 87 8 32 68 2 68 3 44 88 3 81 7 46 97 1 80 8 59 90 3 93 10 46 101 3 93 9 46 94 1 102 10 54 101 1 104 9 66 109 2 90 8 56 100 1 85 8 59 103 3 92 8 57 94 1 82 9 52 97 3 85 4 48 85 2 89 6 44 75 3 77 7 41 77 1 79 4 50 87 1 76 9 48 78 2 101 7 48 108 3 81 8 59 97 3 89 8 46 106 1 81 7 54 107 2 77 7 55 95 2 95 9 54 107 3 85 8 59 115 3 81 8 44 101 1 76 9 54 85 3 93 9 52 90 3 104 10 66 115 3 89 7 44 95 2 76 8 57 97 3 77 5 39 112 3 71 9 60 97 3 79 8 45 77 3 89 7 41 90 1 81 8 50 94 3 99 8 39 103 1 81 7 43 77 3 84 6 48 98 3 85 7 37 90 3 111 7 58 111 2 78 6 46 77 3 111 6 43 88 2 78 7 44 75 3 87 9 34 92 2 92 6 30 78 2 93 10 50 106 2 70 4 39 80 3 84 8 37 87 3 75 7 55 92 3 85 5 39 86 3 87 9 36 85 2 75 8 43 90 1 103 9 50 101 3 86 8 55 94 3 77 8 43 86 3 74 9 60 86 2 74 8 48 90 1 76 9 30 75 3 83 7 43 86 3 101 6 39 91 3 83 8 52 97 2 92 6 39 91 3 74 5 39 70 2 87 3 56 98 3 71 6 59 96 3 79 8 46 95 2 83 7 57 100 3 80 8 50 95 3 90 6 54 97 3 80 9 50 97 3 96 9 60 92 1 109 10 59 115 3 98 7 41 88 2 85 5 48 87 3 83 8 59 100 3 86 9 60 98 1 72 8 56 102 3 75 4 51 96
Names of X columns:
X1 X2 X3 X4 X5
Response : Variable 1
Within Ss Factor : Variable 2
Within Ss Factor : Variable 3
Between Ss Factor : Variable 4
Subject Identifier Column : Variable 5
Chart options
Title:
Label y-axis:
Label x-axis:
R Code
cat1 <- as.numeric(par1) # cat2<- as.numeric(par2) # cat3 <- as.numeric(par3) cat4 <-as.numeric(par4) cat5 <-as.numeric(par5) x <- t(x) x1<-as.numeric(x[,cat1]) wf1<-as.character(x[,cat2]) wf2 <- as.character(x[,cat3]) bf1 <- as.character(x[,cat4]) sid<- as.character(x[,cat5]) # author of ez changed within subjects variable name from sid to wid xdf<-data.frame(x1,wf1, wf2, bf1, sid) (V1<-dimnames(y)[[1]][cat1]) (V2<-dimnames(y)[[1]][cat2]) (V3 <-dimnames(y)[[1]][cat3]) (V4 <-dimnames(y)[[1]][cat4]) (V5 <-dimnames(y)[[1]][cat5]) names(xdf)<-c(V1, V2, V3, V4, V5) library(ez) library(Cairo) (ezout <- ezANOVA(data=xdf, dv=.(mean_rt), wid=.(sid), within=.(cue, flanker), between=.(group) ) ) load(file='createtable') a<-table.start() nr <- nrow(ezout$ANOVA) nc <- ncol(ezout$ANOVA) a<-table.row.start(a) a<-table.element(a,'Repeated Measures ANOVA', nc+1,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'effect', 1,TRUE) a<-table.element(a,'Dfn',1,TRUE) a<-table.element(a,'DFd', 1,TRUE) a<-table.element(a, 'F', 1,TRUE) a<-table.element(a,'p', 1,TRUE) a<-table.element(a,'p<0.05', 1,TRUE) a<-table.element(a, 'ges', 1,TRUE) # generalized eta-sq - was partial eta-sq in earlier version a<-table.row.end(a) for ( i in 1:nr){ a<-table.row.start(a) a<-table.element(a,ezout$ANOVA$Effect[i], 1, TRUE) for(j in 2:nc){ if ( j != 6) # author of ez reduced number of columns in output from 8 a<-table.element(a,round(ezout$ANOVA[[j]][i], digits=3), 1, FALSE) else a<-table.element(a, ezout$ANOVA[[j]][i], 1, FALSE) } a<-table.row.end(a) } a<-table.end(a) table.save(a,file='mytable.tab') a<-table.start() nr <- nrow(ezout$Mauchly) nc <- ncol(ezout$Mauchly) a<-table.row.start(a) a<-table.element(a,'Mauchlys Test for Sphericity', nc+1,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'effect', 1,TRUE) a<-table.element(a,'W',1,TRUE) a<-table.element(a,'p', 1,TRUE) a<-table.element(a,'p<0.05', 1,TRUE) a<-table.row.end(a) for ( i in 1:nr){ a<-table.row.start(a) a<-table.element(a,ezout$Mauchly$Effect[i], 1, TRUE) for(j in 2:nc){ if (j != 4) a<-table.element(a,round(ezout$Mauchly[[j]][i], digits = 3), 1, FALSE) else a<-table.element(a,ezout$Mauchly[[j]][i], 1, FALSE) } a<-table.row.end(a) } a<-table.end(a) table.save(a,file='mytable1.tab') a<-table.start() nr <- nrow(ezout$Spher) nc <- ncol(ezout$Sphe) a<-table.row.start(a) a<-table.element(a,'Sphericity Corrections', nc+1,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'effect', 1,TRUE) a<-table.element(a,'GGe',1,TRUE) a<-table.element(a,'p[GG]', 1,TRUE) a<-table.element(a,'p[GG]<0.05', 1,TRUE) a<-table.element(a,'HFe', 1,TRUE) a<-table.element(a,'p[HF]', 1,TRUE) a<-table.element(a,'p[HF]<0.05', 1,TRUE) a<-table.row.end(a) for ( i in 1:nr){ a<-table.row.start(a) a<-table.element(a,ezout$Spher$Effect[i], 1, TRUE) for(j in 2:nc){ if ( ! ((j == 4) | (j == 7)) ) a<-table.element(a,round(ezout$Spher[[j]][i], digits=3), 1, FALSE) else a<-table.element(a,ezout$Spher[[j]][i], 1, FALSE) } a<-table.row.end(a) } a<-table.end(a) table.save(a,file='mytable2.tab') ezP.between<-ezPlot(data = xdf, dv = .(mean_rt), between = .(group), wid = .(sid), do_lines=FALSE, x_lab='group', y_lab='RT' , x=.(group)) bitmap(file = 'between.cairo') print(ezP.between) dev.off() ezstats_between<-ezStats(data = xdf, dv = .(mean_rt), between =.(group), wid = .(sid)) a<-table.start() nr <- nrow(ezstats_between) nc <- ncol(ezstats_between) a<-table.row.start(a) a<-table.element(a,'Between Effects Comparisons', nc+1,TRUE) a<-table.row.end(a) a<-table.row.start(a) for(i in 1:nc){ a<-table.element(a, names(ezstats_between)[i], 1,TRUE) } a<-table.row.end(a) for ( i in 1:nr){ a<-table.row.start(a) a<-table.element(a,ezstats_between[[1]][i], 1, TRUE) for(j in 2:nc){ a<-table.element(a,ezstats_between[[j]][i], 1, FALSE) } a<-table.row.end(a) } a<-table.end(a) table.save(a,file='mytable3.tab') ezP.within<-ezPlot(data = xdf, dv = .(mean_rt), within = .(cue, flanker), wid = .(sid), do_lines=TRUE, x_lab='flanker', y_lab='RT' , x=.(flanker), split=.(cue), split_lab = 'cue') bitmap(file = 'within.cairo') print(ezP.within) dev.off() ezstats_within <- ezStats(data = xdf, dv = .(mean_rt), within = .(cue, flanker), wid = .(sid)) a<-table.start() nr <- nrow(ezstats_within) nc <- ncol(ezstats_within) a<-table.row.start(a) a<-table.element(a,'Within Effects Comparisons', nc+1,TRUE) a<-table.row.end(a) a<-table.row.start(a) for(i in 1:nc){ a<-table.element(a, names(ezstats_within)[i], 1,TRUE) } a<-table.row.end(a) for ( i in 1:nr){ a<-table.row.start(a) a<-table.element(a,ezstats_within[[1]][i], 1, TRUE) for(j in 2:nc){ a<-table.element(a, ezstats_within[[j]][i], 1, FALSE) } a<-table.row.end(a) } a<-table.end(a) table.save(a,file='mytable4.tab')
Compute
Summary of computational transaction
Raw Input
view raw input (R code)
Raw Output
view raw output of R engine
Computing time
0 seconds
R Server
Big Analytics Cloud Computing Center
Click here to blog (archive) this computation